In this paper, we propose a novel algorithm to improve uRLLWSNs’ performance by applying machine learning techniques and genetic algorithms. Using the K -means clustering algorithm to construct a ...

In this article, a hybrid algorithm is proposed by combining the non-dominated sorting genetic algorithm (NSGA-II) with multi-objective particle swarm optimization (MOPSO) algorithm. The original NSGA ...

Basically, the Genetic Optimization sub-functions and main function are all connected to the simulink file. above figure shows the Genetic Optimization Algorithm's search pattern and how it has ...

Oklahoma’s Attorney General has joined a multi-state effort to protect the genetic privacy of countless Americans.

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization" - isl-org/MultiObjectiveOptimization ...